US11170198B2 - Fingerprint identification method and device, storage medium and terminal - Google Patents
Fingerprint identification method and device, storage medium and terminal Download PDFInfo
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- US11170198B2 US11170198B2 US16/705,693 US201916705693A US11170198B2 US 11170198 B2 US11170198 B2 US 11170198B2 US 201916705693 A US201916705693 A US 201916705693A US 11170198 B2 US11170198 B2 US 11170198B2
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- fingerprint
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- G06K9/0012—
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
-
- G06K9/0004—
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
- G06V40/1394—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using acquisition arrangements
Definitions
- the present disclosure generally relates to a fingerprint identification method and device, a storage medium and a terminal.
- fingerprint identification technology has gradually developed and been widely used in mobile terminals (such as mobile phones, tablet computers or the like), banking systems and attendance systems.
- An embodiment of the present disclosure provides a fingerprint identification method and device, a storage medium and a terminal.
- true or false fingers may be easily identified and determined, which enhances security and reliability of a fingerprint identification system, and also ensures and improves quality of fingerprint imaging.
- a fingerprint identification method including: when a touch sensing unit senses a touch signal after a screen is touched by a fingerprint to be identified, a control unit sending a display drive signal to a display unit to light pixels of one or more discrete point light source regions in the display unit; and a photoelectric sensing unit receiving a scattered light signal formed by light from the pixels reaching a physiological tissue of a finger having the fingerprint to be identified, and a total reflection light signal formed by light from the pixels reaching the screen.
- an incident angle of the light from the pixels is smaller than a critical angle ⁇ of total reflection, the light enters the physiological tissue of the finger through the screen and is scattered, and a part of the light returns, to form the scattered light signal, and the scattered light signal is received by the photoelectric sensing unit and analyzed to obtain a heart rate blood oxygen value.
- the method further includes: determining whether the fingerprint to be identified is a living fingerprint based on the heart rate blood oxygen value.
- wavelength of scattered light is greater than 600 nm, preferably 600 to 1000 nm, more preferably 600 to 800 nm.
- an incident angle of the light from the pixels is greater than or equal to a critical angle ⁇ of total reflection, total reflection occurs to form the total reflection light signal, and the total reflection light signal is received by the photoelectric sensing unit and analyzed to reconstruct an entire image of the fingerprint to be identified.
- the method further includes: determining whether the image of the fingerprint to be identified is consistent with a standard fingerprint image.
- the fingerprint to be identified is determined as a living fingerprint based on a heart rate blood oxygen value, and an image of the fingerprint to be identified is determined to be consistent with a standard fingerprint image, fingerprint identification is successful; otherwise, the fingerprint identification is failed.
- a fingerprint identification device including a screen, a touch sensing unit, a display unit, a photoelectric sensing unit and a control unit, wherein the screen is configured to be touched by a fingerprint to be identified, the touch sensing unit is configured to sense a touch signal of the fingerprint to be identified, the display unit is provided with pixels of one or more discrete point light source regions, the photoelectric sensing unit is configured to receive a scattered light signal formed by light from the pixels reaching a physiological tissue of a finger having the fingerprint to be identified, and a total reflection light signal formed by light from the pixels reaching the screen, and the control unit is configured to send a display drive signal to the display unit to light the pixels of the one or more discrete point light source regions in the display unit, when the touch sensing unit senses the touch signal.
- an incident angle of the light from the pixels is smaller than a critical angle ⁇ of total reflection, the light enters the physiological tissue of the finger through the screen and is scattered, and a part of the light returns, to form the scattered light signal, and the scattered light signal is received by the photoelectric sensing unit and analyzed to obtain a heart rate blood oxygen value.
- an incident angle of the light from the pixels is greater than or equal to a critical angle ⁇ of total reflection, total reflection occurs to form the total reflection light signal, and the total reflection light signal is received by the photoelectric sensing unit and analyzed to reconstruct an entire image of the fingerprint to be identified.
- a terminal including the above fingerprint identification device is provided.
- a computer readable storage medium having computer instructions stored therein is provided, where once the computer instructions are executed, the above method is performed.
- a terminal including a memory and a processor
- the memory has computer instructions stored therein, and when the processor executes the computer instructions, the above method is performed.
- a terminal including a memory and a processor
- the memory has computer instructions stored therein, and when the processor executes the computer instructions, the above fingerprint encryption or fingerprint decryption method is performed.
- whether the fingerprint to be identified is a living fingerprint is determined rapidly, and whether the image of the fingerprint to be identified is consistent with a standard fingerprint image is determined to obtain a matching result rapidly, which may easily identify true or false fingers, thereby enhancing security and reliability of a fingerprint identification system and greatly improving user experience.
- FIG. 1 schematically illustrates a flow chart of a fingerprint identification method according to an embodiment
- FIG. 2 schematically illustrates a diagram of optical fingerprint imaging according to an embodiment
- FIG. 3 schematically illustrates a block diagram of a fingerprint identification device according to an embodiment
- FIG. 4 schematically illustrates a diagram of an array in a plurality of discrete point light source regions in a display unit according to an embodiment
- FIG. 5 schematically illustrates a diagram of a pixel according to an embodiment.
- fingerprint identification has been widely used in terminals for wake-up (unlocking), payment and user identification (attendance).
- some fake fingerprints made of materials such as conductive silica gel have appeared, which seriously affects daily life and work. Therefore, a fingerprint identification method and device, a storage medium and a terminal are provided in embodiments of the present disclosure.
- true or false fingers may be easily identified and determined, which enhances security and reliability of a fingerprint identification system, and also ensures and improves quality of fingerprint imaging.
- FIG. 1 schematically illustrates a flow chart of a fingerprint identification method according to an embodiment
- FIG. 2 schematically illustrates a diagram of optical fingerprint imaging by employing the method shown in FIG. 1 .
- the method includes S 101 , S 102 , S 103 , S 1041 , S 1042 and S 105 .
- a screen 10 is touched by a fingerprint F to be identified.
- a control unit 50 sends a display drive signal to a display unit 30 to light pixels of one or more discrete point light source regions in the display unit 30 .
- a photoelectric sensing unit 40 receives a scattered light signal formed by light from the pixels reaching a physiological tissue of a finger having the fingerprint to be identified, and a total reflection light signal formed by light from the pixels reaching the screen.
- the scattered light signal is received by the photoelectric sensing unit 40 and analyzed to obtain a heart rate blood oxygen value.
- S 103 when light emitted from a pixel O in the display unit 30 reaches the fingerprint F to be identified and a touch point A on the screen 10 , as the incident angle is greater than or equal to the critical angle ⁇ of total reflection, total reflection occurs to form the total reflection light signal.
- the total reflection light signal is received by the photoelectric sensing unit 40 and analyzed to reconstruct an entire image of the fingerprint to be identified.
- the method may further include S 1041 .
- S 1041 whether the fingerprint to be identified is a living fingerprint is determined based on the heart rate blood oxygen value.
- the heart rate blood oxygen value includes a heart rate value and a blood oxygen saturation. If it is detected that the heart rate value of the fingerprint to be identified falls within a first preset threshold range (for example, 60 to 100 times/min, for normal persons), it is determined that the fingerprint to be identified is a living fingerprint; otherwise, the method ends or it is determined that the fingerprint identification is failed.
- the fingerprint to be identified is determined to be a living fingerprint; otherwise, the method ends or it is determined that the fingerprint identification is failed.
- a second preset threshold range for example, 94% to 100% for normal persons
- the fingerprint to be identified is determined to be a living fingerprint; otherwise, the method ends or it is determined that the fingerprint identification is failed.
- their heart rate and blood oxygen saturation may be slightly lower or slightly higher than the above threshold range.
- the fingerprint to be identified may be determined to be a living fingerprint.
- the method may further include S 1042 .
- S 1042 whether the image of the fingerprint to be identified is consistent with a standard fingerprint image is determined.
- the method may further include S 105 .
- S 105 if the fingerprint to be identified is determined as a living fingerprint based on the heart rate blood oxygen value, and the image of the fingerprint to be identified is determined to be consistent with the standard fingerprint image, fingerprint identification is successful; otherwise, the fingerprint identification is failed.
- FIG. 3 schematically illustrates a block diagram of a fingerprint identification device according to an embodiment.
- the fingerprint identification device includes, from top to bottom, a screen 10 , a touch sensing unit 20 , a display unit 30 , a photoelectric sensing unit 40 and a control unit 50 .
- the screen 10 is configured to be touched by a fingerprint to be identified.
- the touch sensing unit 20 is configured to sense a touch signal of the fingerprint to be identified.
- the display unit 30 is provided with pixels of one or more discrete point light source regions.
- the photoelectric sensing unit 40 is configured to receive a scattered light signal formed by light from the pixels reaching a physiological tissue of a finger having the fingerprint to be identified, and a total reflection light signal formed by light from the pixels reaching the screen 10 .
- the control unit 50 is configured to send a display drive signal to the display unit 30 to light the pixels of the one or more discrete point light source regions in the display unit 30 , when the touch sensing unit 20 senses the touch signal.
- the pixels of the plurality of discrete point light source regions in the display unit 30 are arranged in array and are separated by non-lighted pixels (referring to FIG. 4 ).
- Light emitted from the plurality of discrete point light source regions can light a plurality of regions of the screen 10 , and then reaches a surface of the screen 10 to form a total reflection light signal received by the photoelectric sensing unit 40 , so that images of the plurality of regions can be acquired, which improves efficiency of image acquisition.
- the point light source regions include a plurality of pixels, which satisfies illumination brightness requirements of imaging, and thus realizes acquisition of the image of the fingerprint to be identified on the screen 10 . In this way, availability of the acquired image is guaranteed.
- the point light sources have a plurality of arrangements, such as a topological arrangement, preferably a uniform arrangement, that is, the distance between any two point light sources is the same, such that images formed by reflections of light from the point light sources are all the same, which facilitates subsequent image processing.
- Specific form of the arrangement may include a lateral arrangement, a longitudinal arrangement, a lateral longitudinal cross arrangement, a circular arrangement, a single point arrangement, a multi-point arrangement, a linear arrangement, a parallel line arrangement, a ring arrangement, a dotted line arrangement or a parallel dotted line arrangement.
- the plurality of point light sources constitute a plurality of parallel horizontal rows and a plurality of parallel longitudinal rows (as shown in FIG. 4 ).
- An interval between the point light sources determines imaging quality.
- the interval between two point light sources satisfies a condition that images corresponding to photoelectric signals generated by the photoelectric sensing unit 40 based on light emitted from the two point light sources subjected to total reflection do not contact or repeat.
- the interval may be a minimum value under the above condition.
- the minimum value may be obtained by multiple manual trials. For example, images generated based on light emitted from the two point light sources subjected to total reflection under different intervals are acquired, and then a minimum value of the intervals which satisfy the above condition is selected to be pre-set on a memory which stores computer instructions for the method provided in embodiments of the present disclosure.
- the interval between two point light sources is affected by an interval between the display unit 30 and the screen 10 , where the former interval is proportional to the latter interval.
- the former interval is proportional to the latter interval.
- hardware parameters of a screen of a product generally do not change. For the screen, multiple manual trials are more direct and convenient for the determination of the interval.
- multiple pixels are combined to form a composite point light source whose brightness meets imaging requirements.
- a shape of the point light source also affects image quality.
- the point light source region is circular.
- a combination of multiple pixels can't form a standard circle, only being a quasi-circular shape that is close to a circle. Pixels in the quasi-circular shape may be determined in a way below. A circle is drawn around a particular pixel, and pixels in the circle can all be used as pixels in the quasi-circular shape. Further, a preset area ratio is set for pixels on the circumference.
- a size of the circle determines light intensity of the point light source and whether the photoelectric sensing unit can obtain images with higher quality. If the circle is too small, the point light source region is too small, the light will be insufficient. If the circle is too large, the point light source region is too large, which affects imaging quality. Different display panels will also have different light source intensities, and sizes of the point light source regions of different display panels will also be different. For a certain imaging acquisition structure, the size of the point light source region may also be obtained by multiple manual trials. The point light source regions may be lighted according to the sizes of the point light source regions from small to large, and after the photoelectric sensing unit obtains image data, a minimum point light source region that satisfies the imaging quality is selected manually.
- a size and a shape of the point light source region are as shown in FIG. 5 (each grid represents one pixel, and a position where the light source is located is shown in white).
- a rectangle occupying 7 pixels*7 pixels is disposed in the middle, and there is a protrusion of three pixels at the middle of each side of the rectangle, to enable better imaging quality.
- a color of the light source may be green, red or a combination of either of the two colors with any other colors, which color may avoid interference from external light.
- the total reflection light signal is received by the photoelectric sensing unit 40 and analyzed to reconstruct an entire image of the fingerprint to be identified.
- the photoelectric sensing unit 40 further receives the scattered light signal. If an incident angle of the light from the pixels is smaller than a critical angle ⁇ of total reflection, the light enters the physiological tissue of the finger through the screen 10 and is scattered, and a part of the light returns, to form the scattered light signal (more details can be referred to the above descriptions and are not described here).
- the scattered light signal is received by the photoelectric sensing unit 40 and analyzed to obtain a heart rate blood oxygen value.
- a terminal including the above fingerprint identification device is provided.
- a computer readable storage medium having computer instructions stored therein is provided, where once the computer instructions are executed, the above method is performed.
- the storage medium may be a non-volatile memory or a non-transitory memory.
- the storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
- a terminal including a memory and a processor
- the memory has computer instructions stored therein, and when the processor executes the computer instructions, the above method is performed.
- the terminal may include but is not limited to a personal computer, a server, a general-purpose computer, a special-purpose computer, a network device, an embedded device, a programmable device, a smart mobile terminal (such as a mobile phone, an IPAD or a POS machine), a smart home device (such as a smart fingerprint lock), a wearable smart equipment, a vehicular smart equipment, or a fingerprint identification device such as a fingerprint time recorder or a fingerprint attendance machine.
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- Engineering & Computer Science (AREA)
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
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Abstract
Description
Claims (9)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811491875.0A CN111291592A (en) | 2018-12-07 | 2018-12-07 | Fingerprint identification method and device, storage medium and terminal |
| CN201811491875.0 | 2018-12-07 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| US20200184182A1 US20200184182A1 (en) | 2020-06-11 |
| US11170198B2 true US11170198B2 (en) | 2021-11-09 |
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| US16/705,693 Expired - Fee Related US11170198B2 (en) | 2018-12-07 | 2019-12-06 | Fingerprint identification method and device, storage medium and terminal |
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| Country | Link |
|---|---|
| US (1) | US11170198B2 (en) |
| CN (1) | CN111291592A (en) |
| TW (1) | TWI747096B (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111325055B (en) * | 2018-12-14 | 2024-03-19 | 上海耕岩智能科技有限公司 | Fingerprint identification method and device, storage medium and terminal |
| CN112183320B (en) * | 2020-09-27 | 2024-10-18 | 北京奕斯伟计算技术股份有限公司 | Fingerprint recognition method, fingerprint recognition device and fingerprint recognition display device |
| CN112190247A (en) * | 2020-10-30 | 2021-01-08 | 苏州多感科技有限公司 | Heart rate detection method, heart rate detection device and mobile terminal |
| WO2022125058A1 (en) | 2020-12-07 | 2022-06-16 | Google Llc | Fingerprint-based authentication using touch inputs |
| TWI831059B (en) * | 2021-10-12 | 2024-02-01 | 大陸商北京集創北方科技股份有限公司 | Fingerprint identification method, fingerprint identification device and information processing device |
| CN115100693A (en) * | 2022-05-31 | 2022-09-23 | 北京极豪科技有限公司 | A fingerprint identification method, device, storage medium and program product |
| TWI835245B (en) * | 2022-08-16 | 2024-03-11 | 大陸商北京集創北方科技股份有限公司 | Under-screen fingerprint collection device and information processing device |
| CN115294613A (en) * | 2022-08-16 | 2022-11-04 | 北京集创北方科技股份有限公司 | Under-screen biometric feature acquisition system and method |
| CN116310779A (en) * | 2022-09-29 | 2023-06-23 | 中国气象局沈阳大气环境研究所 | Forest fire low-light level remote sensing identification method |
| CN117093843B (en) * | 2023-10-19 | 2024-02-20 | 华侨大学 | Signal reconstruction and working modal parameter identification methods, devices, equipment and media |
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- 2019-12-06 US US16/705,693 patent/US11170198B2/en not_active Expired - Fee Related
- 2019-12-06 TW TW108144783A patent/TWI747096B/en not_active IP Right Cessation
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| US8605961B2 (en) * | 2009-03-30 | 2013-12-10 | Motorola Mobility Llc | Method and apparatus for determining a physiological parameter using a fingerprint sensor on a portable electronic device |
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Also Published As
| Publication number | Publication date |
|---|---|
| TW202032424A (en) | 2020-09-01 |
| CN111291592A (en) | 2020-06-16 |
| TWI747096B (en) | 2021-11-21 |
| US20200184182A1 (en) | 2020-06-11 |
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